Portrait drawing from corresponding range and intensity images

WANG Lu; LOU Li-ming; YANG Cheng-lei; HUANG Yue-zhu; MENG Xiang-xu

doi:10.1631/jzus.CIDE1306

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Portrait drawing from corresponding range and intensity images

数据驱动的数字娱乐最新进展专辑 | Updated：2022-06-06

- Portrait drawing from corresponding range and intensity images
- Portrait drawing from corresponding range and intensity images
- 信息与电子工程前沿（英文） 2013年14卷第7期页码：530-541
- Affiliations：
  
  1.Department of Computer Science and Technology, Shandong University, Jinan 250101, China
  2.Department of Public Security of Fujian Province, Fuzhou 350003, China
- Author bio：
  
  [ "Lu WANG, E-mail: luwang_hcivr@sdu.edu.cn" ]
  [ "Li-ming LOU, E-mail: lou.li.mingllm@gmail.com" ]
- Funds：
  
  Project supported by the National Natural Science Foundation of China (Nos. 61003149 and U1035004) and the Natural Science Foundation of Shandong Province, China (No. ZR2010FQ011)
- DOI：10.1631/jzus.CIDE1306
  中图分类号： TP391.9
- 收稿：2012-12-29，
  
  修回：2013-06-06，
  
  纸质出版：2013-07
- Accepted：
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Portrait drawing from corresponding range and intensity images[J]. 信息与电子工程前沿（英文）, 2013,14(7):530-541.

WANG Lu, LOU Li-ming, YANG Cheng-lei, et al. Portrait drawing from corresponding range and intensity images[J]. Frontiers of Information Technology & Electronic Engineering, 2013, 14(7): 530-541.
Portrait drawing from corresponding range and intensity images[J]. 信息与电子工程前沿（英文）, 2013,14(7):530-541. DOI： 10.1631/jzus.CIDE1306.

WANG Lu, LOU Li-ming, YANG Cheng-lei, et al. Portrait drawing from corresponding range and intensity images[J]. Frontiers of Information Technology & Electronic Engineering, 2013, 14(7): 530-541. DOI： 10.1631/jzus.CIDE1306.

摘要

Abstract

We propose a real-time rendering system for automatically creating a caricature drawing

i.e.

an exaggerated portrait

of a human face

based on simultaneous use of a range image (or 3D mesh) and a registered photograph of the same face. Combining these information sources provides complementary information. Significant geometric lines such as occluding contours and suggestive contours are extracted from the range data

while textured areas corresponding to shading features are extracted from the photograph. These are combined

and then distorted to produce the final caricature. The final output may be produced using a choice of non-photorealistic rendering styles. Our system method works well for low resolution range images; for these it is fast enough to allow the viewpoint to be chosen in real time. The final output combines significant lines

textured areas

and optional shading

giving a pleasing result which preserves not only the shape cues of the geometric description

but also other essential visual characteristics of the facial image that cannot be deduced from geometry alone.

关键词

Keywords

references

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